Human-computer cloud for smart cities: Tourist itinerary planning case study

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Abstract

The development of smart cities provides a lot of data and services that can be utilized to improve the tourists’ experience during the trip. Information technologies affect directly the development of tourism industry. Tourists and cities’ inhabitants take an active part in the production of tourism products, as well as in sharing their knowledge and experience. To help them in this activity and provide an interface to communicate with other people and computer resources the human-computer cloud concept has been viewed. The paper proposes a workflow that uses computer and human processing units for tourist’s itinerary planning. The workflow integrates data analysis from various sources with computer and human-based calculation of itineraries in the cloud system. The case is implemented based on the smart destination services of St. Petersburg, Russia.

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Smirnov, A., Ponomarev, A., Teslya, N., & Shilov, N. (2017). Human-computer cloud for smart cities: Tourist itinerary planning case study. In Lecture Notes in Business Information Processing (Vol. 303, pp. 179–190). Springer Verlag. https://doi.org/10.1007/978-3-319-69023-0_16

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